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The dataset generation failed
Error code: DatasetGenerationError
Exception: ArrowNotImplementedError
Message: Cannot write struct type 'options' with no child field to Parquet. Consider adding a dummy child field.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 673, in write_table
self._build_writer(inferred_schema=pa_table.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'options' with no child field to Parquet. Consider adding a dummy child field.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1908, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 688, in finalize
self._build_writer(self.schema)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in _build_writer
self.pa_writer = pq.ParquetWriter(
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 1070, in __init__
self.writer = _parquet.ParquetWriter(
^^^^^^^^^^^^^^^^^^^^^^^
File "pyarrow/_parquet.pyx", line 2363, in pyarrow._parquet.ParquetWriter.__cinit__
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: Cannot write struct type 'options' with no child field to Parquet. Consider adding a dummy child field.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1919, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
name string | nodes list | pinData dict | connections dict | active bool | settings dict | versionId string | meta dict | id string | tags list |
|---|---|---|---|---|---|---|---|---|---|
My workflow | [
{
"parameters": {
"operation": "extractHtmlContent",
"extractionValues": {
"values": [
{
"key": "title",
"cssSelector": "h4.artTitle",
"returnArray": true
}
]
},
"options": {},
"url": null,
"assignments":... | {} | {
"HTTP Request Bursa dan Saham": {
"main": [
[
{
"node": "HTML",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request Emas": {
"main": [
[
{
"node": "HTML1",
"type": "main",
"index": 0
}
]
]
},
"HTML": {
"main": [
[
{
"node": "Code Mapping",
"type": "main",
"index": 0
}
]
]
},
"HTML1": {
"main": [
[
{
"node": "Code Mapping1",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields Emas": {
"main": [
[
{
"node": "Code1",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields Bursa Saham": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"Code": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Code1": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Data Cleaning",
"type": "main",
"index": 0
}
]
]
},
"Basic LLM Chain": {
"main": [
[
{
"node": "Code4",
"type": "main",
"index": 0
},
{
"node": "Basic LLM Chain1",
"type": "main",
"index": 0
}
]
]
},
"Code4": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
},
{
"node": "If1",
"type": "main",
"index": 0
},
{
"node": "If2",
"type": "main",
"index": 0
}
]
]
},
"Code Mapping": {
"main": [
[
{
"node": "Edit Fields Bursa Saham",
"type": "main",
"index": 0
}
]
]
},
"Code Mapping1": {
"main": [
[
{
"node": "Edit Fields Emas",
"type": "main",
"index": 0
}
]
]
},
"Prompt Machine": {
"main": [
[
{
"node": "Basic LLM Chain",
"type": "main",
"index": 0
}
]
]
},
"Data Cleaning": {
"main": [
[
{
"node": "Prompt Machine",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "HTTP Request Bursa dan Saham",
"type": "main",
"index": 0
},
{
"node": "HTTP Request Emas",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "Convert to File",
"type": "main",
"index": 0
}
]
]
},
"If1": {
"main": [
[
{
"node": "Convert to File1",
"type": "main",
"index": 0
}
]
]
},
"If2": {
"main": [
[
{
"node": "Convert to File2",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model1": {
"ai_languageModel": [
[
{
"node": "Basic LLM Chain1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Basic LLM Chain1": {
"main": [
[]
]
},
"Convert to File": {
"main": [
[]
]
},
"Convert to File1": {
"main": [
[]
]
},
"Convert to File2": {
"main": [
[]
]
}
} | false | {
"executionOrder": "v1"
} | {
"instanceId": ""
} | [] |
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